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Liang W, Liu C, Zhang J, Yi M, Cai Y, Zhang A, Liu L, Zhang L, Chen X, Zou Y, Chen Y, Guo Y, Zhang Y, Zhu X, Yang W. The elevation of red blood cell distribution width is an independent prognostic factor for juvenile myelomonocytic leukemia. BLOOD SCIENCE 2024; 6:e00186. [PMID: 38681968 PMCID: PMC11049728 DOI: 10.1097/bs9.0000000000000186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/27/2024] [Indexed: 05/01/2024] Open
Abstract
Juvenile myelomonocytic leukemia (JMML) is a disorder characterized by the simultaneous presence of myeloproliferative and myelodysplastic features, primarily affecting infants and young children. Due to the heterogeneous genetic background among patients, the current clinical and laboratory prognostic features are insufficient for accurately predicting outcomes. Thus, there is a pressing need to identify novel prognostic indicators. Red cell distribution width (RDW) is a critical parameter reflecting the variability in erythrocyte size. Recent studies have emphasized that elevated RDW serves as a valuable predictive marker for unfavorable outcomes across various diseases. However, the prognostic role of RDW in JMML remains unclear. Patients with JMML from our single-center cohort between January 2008 and December 2019 were included. Overall, 77 patients were eligible. Multivariate Cox proportional hazard models showed that patients with red cell distribution width coefficient of variation (RDW-CV) >17.35% at diagnosis were susceptible to much worse overall survival rate (hazard ratio [HR] = 5.22, confidence interval [CI] = 1.50-18.21, P = .010). Besides, the combination of RDW elevation and protein phosphatase non-receptor type 11 (PTPN11) mutation was likely to predict a subgroup with the worst outcomes in our cohort. RDW is an independent prognostic variable in JMML subjects. RDW may be regarded as an inexpensive biomarker to predict the clinical outcome in patients with JMML.
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Affiliation(s)
- Weiru Liang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Chenmeng Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Jingliao Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Meihui Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yuli Cai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Aoli Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Lipeng Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Li Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Xiaojuan Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yao Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yumei Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Ye Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yingchi Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Xiaofan Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Wenyu Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Carlisi M, Presti RL, Plano F, Mancuso S, Siragusa S, Caimi G. Changes in RDW according to prognostic predictors in newly diagnosed multiple myeloma. Sci Rep 2024; 14:2832. [PMID: 38310176 PMCID: PMC10838310 DOI: 10.1038/s41598-024-53385-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 01/31/2024] [Indexed: 02/05/2024] Open
Abstract
RDW is an erythrocyte index that increase in multiple myeloma, in which it appears to have an important role in predicting outcome. For this reason, we performed a retrospective analysis to evaluate the relationships of RDW with some important prognostic predictors. Specifically, in a cohort of 190 newly diagnosed multiple myeloma patients, we have examined the behaviour of RDW and its trend in relation to the ISS stage and other prognostic factors, such as albumin, beta-2 microglobulin, LDH and bone marrow plasma cell infiltration. We performed the analysis in the entire cohort of patients and in the three different disease isotypes (Light chain, IgA, and IgG multiple myeloma). The evaluation of RDW in the different isotypes was made with the Kruskal-Wallis test, integrated by the Dunn test. The comparison between the subgroups allocated above and below the median value of each prognostic factor, was made with the Mann-Whitney test. From our analysis, we observed that RDW is higher in the IgA multiple myeloma, and it increases significantly from ISS I to III. Moreover, RDW increases in the presence of lower albumin values, higher levels of beta2-microglobulin and LDH and in the presence of a greater bone marrow plasma cell infiltrate.
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Affiliation(s)
- Melania Carlisi
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
| | - R Lo Presti
- Department of Psychology, Educational Science and Human Movement, University of Palermo, Palermo, Italy
| | - F Plano
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - S Mancuso
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - S Siragusa
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - G Caimi
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
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Zhu Y, Han S, Chen X, Wu S, Xiong B. Improving the diagnosis of myelodysplastic syndrome by red blood cell parameters. Clin Transl Oncol 2023; 25:2983-2990. [PMID: 37081223 DOI: 10.1007/s12094-023-03166-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 03/20/2023] [Indexed: 04/22/2023]
Abstract
PURPOSE To investigate the value of red blood cell parameters in Myelodysplastic syndrome (MDS) diagnosis and their relations to MDS subtypes and risk groups. METHODS The red blood cell parameter [mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red cell distribution width (RDW)] levels [203 MDS, 99 aplastic anemia (AA), 145 megaloblastic anemia (MA)] were collected from a single-center retrospective cohort. The cut-off values, area under the receiver operating characteristic curve (ROC) curve (AUC), sensitivity and specificity of the four parameters were calculated from the ROC. Furthermore, Kruskal-Wallis test and Dunn's Test were performed to determine erythrocyte parameters in different subtypes and prognostic risks MDS. RESULTS There are significant statistic differences in RDW (P < 0.001), MCH (P = 0.036) and MCHC (P < 0.001) (MDS vs AA); RDW (P = 0.009), MCV (P < 0.001), MCH (P < 0.001) and MCHC (P = 0.001) (MDS vs MA); MCV (P = 0.011) and MCH (P = 0.008) (higher-risk MDS vs lower-risk MDS). Between MDS and MA, the area under the receiver operating characteristic curve (ROC) curve (AUC) values of MCV, MCH, MCHC, RDW were 0.846, 0.855, 0.617, and 0.593. Between MDS and AA, the AUC values of MCH, MCHC, RDW were 0.609, 0.671, and 0.662, respectively. CONCLUSIONS The red blood cell parameters contribute to the differential diagnosis of MDS, AA and MA and are related to MDS subtypes and risk groups.
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Affiliation(s)
- Ying Zhu
- The Second Clinical School of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Suyang Han
- The Second Clinical School of Wuhan University, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xue Chen
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Sanyun Wu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Bei Xiong
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
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Liu L, Fu Q, Zhang D, Chen D, Wang F, Guo R, Xie X, Jiang Z, Yu J, Li Y. Analysis of Mean Corpuscular Volume and Red Cell Distribution Width in Patients with Aplastic Anemia. Hemoglobin 2023:1-5. [PMID: 37161838 DOI: 10.1080/03630269.2023.2206575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
To explore the characteristics of hemogram in patients with aplastic anemia (AA), especially mean corpuscular volume (MCV) and red cell distribution width (RDW). We examined the blood routine of 180 new-onset AA patients and used 166 patients with myelodysplastic syndrome (MDS) as controls. Among the 180 AA patients, 105 (58.3%) were diagnosed with severe AA (SAA), while 75 (41.7%) were diagnosed with non-severe AA (NSAA). Compared to MDS, patients with SAA generally had unfavorable hemogram, including significantly lower white blood cell (WBC), absolute neutrophil count (ANC), hemoglobin (Hb), platelet (PLT) and reticulocyte counts (RET). However, WBC, ANC and lymphocyte counts were higher in the NSAA group than in the MDS group; Hb and Ret were comparable between the two groups. 8.5% of SAA patients and 58.1% of NSAA patients presented with macrocytic anemia, whereas 25.7% of SAA and 64.0% of NSAA had a high RDW. In the MDS group, 54.7% of patients presented with macrocytic anemia, and 84.7% had increased RDW. WBC, ANC, PLT, and Ret in a high-RDW group (25.7% of SAA) were significantly higher than in a normal-RDW group (74.3% of SAA). Overall, most SAA patients exhibited normocytic-normochromic anemia, and their hemograms decreased more significantly; more than half of NSAA patients showed macrocytic-heterogeneous anemia, and their hemograms were similar to those of MDS. Patients with elevated RDW may have better residual bone marrow hematopoietic function than those with normal RDW but with more severe anemia.
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Affiliation(s)
- Lingling Liu
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qiuhao Fu
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Danfeng Zhang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Dandan Chen
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fang Wang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Rong Guo
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xinsheng Xie
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhongxing Jiang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jifeng Yu
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yingmei Li
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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The effects of mean platelet volume and red cell distribution width on prognosis in patients with myelodysplastic syndrome. MARMARA MEDICAL JOURNAL 2023. [DOI: 10.5472/marumj.1244731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Objective: In this study, the relationship between changes in mean platelet volume (MPV) and erythrocyte distribution width (RDW)
with hematological response and survival in patients with myelodysplastic syndrome was investigated.
Patients and Methods: Between 1 January 2011 and 31 December 2018, patient characteristics and hemogram results were evaluated
during the treatment process among 158 patients diagnosed with myelodysplastic syndrome.
Results: The mean age of the patients who were included in the study was 71.53±12.6 years. The MPV percentage change in the 2-year
follow-up of the patients with and without hematological response was significant, at 0.022±0.11 (2.2%) in those who responded and
at 0.069±0.15 (6.9%) in those who did not (p=0.049). Throughout the same period, the degree of RDW changes in the patients who
died was 13.23±22.97, the degree in those who survived was 2.86±21.42, and the difference between the two groups was statistically
significant (p=0.006).
Conclusion: In patients diagnosed with myelodysplastic syndrome, MPV and RDW values can be considered inexpensive and simple
laboratory markers that can be used in follow-ups and promising tests to predict both treatment response and survival in the early
period and change treatment modalities.
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[Prognostic significance red blood cell distribution width in myelodysplastic syndromes]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2022; 43:686-690. [PMID: 36709156 PMCID: PMC9593014 DOI: 10.3760/cma.j.issn.0253-2727.2022.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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Tang D, Guo Y, Tang Y, Wang H. Treatment and Outcome of Castleman Disease: A Retrospective Report of 31 Patients. Ther Clin Risk Manag 2022; 18:499-509. [PMID: 35502435 PMCID: PMC9056045 DOI: 10.2147/tcrm.s354130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/15/2022] [Indexed: 11/30/2022] Open
Abstract
Background Castleman disease (CD) is a rare and heterogeneous lymphoproliferative disorder with a spectrum of characteristic pathological abnormalities of lymph node. Furthermore, its clinical diagnosis is very challenging until pathological results are available. This study aimed to investigate the clinical presentations, treatment and prognosis of CD, thereby improving the understanding and diagnosis of CD. Methods This study retrospectively analyzed the clinical data of 31 patients with CD admitted to the First Hospital Affiliated Hospital of Chongqing Medical University January 2013 to December 2020. The chi-square test and the Mann–Whitney rank sum test were employed to calculate between-group differences for categorical and quantitative data, respectively. Results Clinically, patients with unicentric CD (UCD) usually present with lymphadenopathy. However, the clinical presentation of patients with multicentric CD (MCD) ranged from mild lymphadenopathy with B-symptoms (5/8, 62.5%) to intense inflammation, vascular leak syndrome (3/8, 37.5%), hepatosplenomegaly (3/8, 37.5%), organ insufficiency (3/8, 37.5%), and even death (2/8, 25.0%). Compared with UCD patients, patients with MCD had significantly lower levels of hemoglobin (104 (90,129) vs 137 (120,149), p=0.018) and plasma albumin (31.5 (27.0,37.0) vs 45.0 (40.0,46.5), p=0.001), but IgG levels were significantly increased. Patients with UCD were mainly treated with surgical resection alone, with a five-year survival rate of 95.65%. When siltuximab is not an option, steroid plus rituximab-based chemotherapy and specific supportive care are common options for MCD. Except for 2 deaths, the remaining MCD patients have stable disease or partial remission. Conclusion CD describes a heterogeneous group of disorders characterized by morphologically benign lymphoid hyperplasia. Notably, patients with MCD present varying degrees of inflammation responses, even involving multiple systems. Surgery is a direct and effective way to diagnose and treat UCD. In the absence of IL-6 antagonists, anti-inflammatory and immunosuppressive therapeutic strategies, and cytotoxic clearance of cells responsible for hypercytokinemia could be adopted.
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Affiliation(s)
- Dijiao Tang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Yuetong Guo
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Yi Tang
- Department of Pathology, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Hongxu Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- Correspondence: Hongxu Wang, Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People’s Republic of China, Tel/Fax +86 23 89012513, Email
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Prognostic impacts of serum levels of C-reactive protein, albumin, and total cholesterol in patients with myelodysplastic syndromes. Int J Hematol 2022; 116:81-88. [PMID: 35318539 DOI: 10.1007/s12185-022-03321-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 10/18/2022]
Abstract
Various systems for predicting the prognosis of patients with myelodysplastic syndromes (MDS) have been developed. However, associations between performance status (PS) and prognosis of MDS require further investigation. To objectively assess the impact of PS on survival, we examined laboratory findings associated with PS, including serum levels of C-reactive protein (CRP), albumin (ALB), and total cholesterol (CHOL). Patients (n = 123; male 86, female 37; median age 74 yrs.) diagnosed with MDS or myelodysplastic/myeloproliferative neoplasms at Kanazawa Medical University Hospital between 2010 and 2020 were enrolled and grouped by cutoff values determined by receiver operating characteristic analysis: 0.44 mg/dL for CRP, 4.0 g/dL for ALB, and 120 mg/dL for CHOL. The median follow-up period was 17.6 months. Kaplan-Meier analysis revealed that overall survival (OS) in the high CRP, low ALB, and low CHOL groups was significantly shorter than in the low CRP, high ALB, and high CHOL groups, respectively. Multivariable analysis revealed that elevated serum CRP was an independent prognostic risk factor independent of gender, bone marrow blast percentage, and cytogenetics.
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The Diagnostic Red Blood Cell Distribution Width as a Prognostic Factor in Acute Myeloid Leukemia. Blood Adv 2021; 5:5584-5587. [PMID: 34670273 PMCID: PMC8714728 DOI: 10.1182/bloodadvances.2021005974] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/04/2021] [Indexed: 11/20/2022] Open
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Li T, Li X, Chen H, Huang KZ, Xie Q, Ge HY, Gao SM, Feng JH, Yang JJ, Chen ZG, Zheng XQ. Higher Red Blood Cell Distribution Width is a Poor Prognostic Factor for Patients with Chronic Myeloid Leukemia. Cancer Manag Res 2021; 13:1233-1243. [PMID: 33603469 PMCID: PMC7882436 DOI: 10.2147/cmar.s288589] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/25/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose Red blood cell distribution width (RDW) has been considered as a potential indicator of the effects of treatment or as a prognostic indicator for various malignancies. Most chronic myeloid leukemia (CML) patients are in the chronic phase, but some have transformed to accelerated phase or blast phase (blast crisis). However, the clinical significance of RDW in CML remains limited. Patients and Methods In the present study, detailed clinical information and the RDW of 168 healthy people and 153 CML patients (106 patients for the training cohort and 47 patients for the validation cohort) were retrospectively assessed. Results Multivariate analysis demonstrated that patient age (OR, 1.081; 95CI% 1.039~1.125; p < 0.001), platelet counts (OR, 0.997; 95CI% 0.994~0.999; p = 0.001) and RDW at admission (OR,1.469; 95CI% 1.121~1.925; p = 0.005) were significantly associated with the patients with advanced phase. Among CML patients in the chronic phase, higher RDW was significantly associated with overall survival (OS; p = 0.0008) and the event-free survival (EFS; p = 0.0221) among CML patients with chronic phase, but not with Transformation-free survival (TFS; p = 0.0821). Furthermore, higher RDW was associated with higher mortality compared to patients with low RDW (CML-associated deaths; p < 0.0001). In addition, a decline in RDW is associated with the treatment of CML patients with tyrosine kinase inhibitors, especially at 6 and 12 months after the start of treatment. Conclusion Higher RDW is a potential prognostic biomarker for chronic CML patients.
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Affiliation(s)
- Tao Li
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The Key Laboratory of Laboratory Medicine, Ministry of Education of China, Wenzhou, Zhejiang, People's Republic of China
| | - Xin Li
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Hui Chen
- Department of Emergency, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Kai-Zhao Huang
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Qi Xie
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The Key Laboratory of Laboratory Medicine, Ministry of Education of China, Wenzhou, Zhejiang, People's Republic of China
| | - Han-Yu Ge
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Shen-Meng Gao
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Jian-Hua Feng
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Jun-Jun Yang
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Zhan-Guo Chen
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Xiao-Qun Zheng
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The Key Laboratory of Laboratory Medicine, Ministry of Education of China, Wenzhou, Zhejiang, People's Republic of China
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Lorente L, Martín MM, Argueso M, Solé-Violán J, Perez A, Marcos Y Ramos JA, Ramos-Gómez L, López S, Franco A, González-Rivero AF, Martín M, Gonzalez V, Alcoba-Flórez J, Rodriguez MÁ, Riaño-Ruiz M, Guillermo O Campo J, González L, Cantera T, Ortiz-López R, Ojeda N, Rodríguez-Pérez A, Domínguez C, Jiménez A. Association between red blood cell distribution width and mortality of COVID-19 patients. Anaesth Crit Care Pain Med 2021; 40:100777. [PMID: 33171297 PMCID: PMC7648194 DOI: 10.1016/j.accpm.2020.10.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 06/23/2020] [Accepted: 10/02/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE We have previously reported an association between high red blood cell distribution width (RDW) and mortality in septic and brain infarction patients. However, no association between RDW and mortality in coronavirus disease 2019 (COVID-19) patients has been reported so far; thus, the objective of this study was to determine if that association exists. METHODS Prospective and observational study carried out in 8 Intensive Care Units from 6 hospitals of Canary Islands (Spain) including COVID-19 patients. We recorded RDW at ICU admission and 30-day survival. RESULTS We found that patients who did not survive (n=25) compared to surviving patients (n=118) were older (p=0.004), showed higher RDW (p=0.001), urea (p<0.001), APACHE-II (p<0.001) and SOFA (p<0.001), and lower platelet count (p=0.007) and pH (p=0.008). Multiple binomial logistic regression analysis showed that RDW was associated with 30-day mortality after controlling for: SOFA and age (OR=1.659; 95% CI=1.130-2.434; p=0.01); APACHE-II and platelet count (OR=2.062; 95% CI=1.359-3.129; p=0.001); and pH and urea (OR=1.797; 95% CI=1.250-2.582; p=0.002). The area under the curve (AUC) of RDW for mortality prediction was of 71% (95% CI=63-78%; p<0.001). We did not find significant differences in the predictive capacity between RDW and SOFA (p=0.66) or between RDW and APACHE-II (p=0.12). CONCLUSIONS Our study provides new information regarding the ability to predict mortality in patients with COVID-19. There is an association between high RDW and mortality. RDW has a good performance to predict 30-day mortality, similar to other severity scores (such as APACHE II and SOFA) but easier and faster to obtain.
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Affiliation(s)
- Leonardo Lorente
- Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n. La Laguna, 38320 Santa Cruz de Tenerife, Spain.
| | - María M Martín
- Intensive Care Unit, Hospital Universitario Nuestra Señora de Candelaria, Crta del Rosario s/n, Santa Cruz de Tenerife 38010, Spain
| | - Mónica Argueso
- Intensive Care Unit, Complejo Hospitalario Universitario Insular, Plaza Dr. Pasteur s/n, Las Palmas de Gran Canaria 35016, Spain
| | - Jordi Solé-Violán
- Intensive Care Unit, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, Las Palmas de Gran Canaria 35010, Spain
| | - Alina Perez
- Internal Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n, La Laguna, 38320 Santa Cruz de Tenerife, Spain
| | - José Alberto Marcos Y Ramos
- Intensive Care Unit, Hospital Doctor José Molina Orosa, Ctra. Arrecife-Tinajo, km 1.300, Arrecife, Lanzarote 35550, Spain
| | - Luis Ramos-Gómez
- Intensive Care Unit, Hospital General La Palma, Buenavista de Arriba s/n, Breña Alta, La Palma 38713, Spain
| | - Sergio López
- Department of Anaesthesiology, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, Las Palmas de Gran Canaria 35010, Spain
| | - Andrés Franco
- Immunology Unit of Laboratory Department, Hospital Universitario de Canarias, Ofra, s/n. La Laguna, 38320 Santa Cruz de Tenerife, Spain
| | - Agustín F González-Rivero
- Laboratory Department, Hospital Universitario de Canarias, Ofra, s/n. La Laguna, 38320 Santa Cruz de Tenerife, Spain
| | - María Martín
- Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n. La Laguna, 38320 Santa Cruz de Tenerife, Spain
| | - Verónica Gonzalez
- Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n. La Laguna, 38320 Santa Cruz de Tenerife, Spain
| | - Julia Alcoba-Flórez
- Microbiology Unit of Laboratory Department, Hospital Universitario Nuestra Señora de Candelaria, Crta del Rosario s/n, Santa Cruz de Tenerife 38010, Spain
| | - Miguel Ángel Rodriguez
- Intensive Care Unit, Hospital Universitario Nuestra Señora de Candelaria, Crta del Rosario s/n, Santa Cruz de Tenerife 38010, Spain
| | - Marta Riaño-Ruiz
- Department of Biochemistry, Complejo Hospitalario Universitario Insular, Plaza Dr. Pasteur s/n, Las Palmas de Gran Canaria 35016, Spain
| | - Juan Guillermo O Campo
- Intensive Care Unit, Complejo Hospitalario Universitario Insular, Plaza Dr. Pasteur s/n, Las Palmas de Gran Canaria 35016, Spain
| | - Lourdes González
- Internal Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n, La Laguna, 38320 Santa Cruz de Tenerife, Spain
| | - Tamara Cantera
- Intensive Care Unit, Hospital Doctor José Molina Orosa, Ctra. Arrecife-Tinajo, km 1.300, Arrecife, Lanzarote 35550, Spain
| | - Raquel Ortiz-López
- Intensive Care Unit, Hospital General La Palma, Buenavista de Arriba s/n, Breña Alta, La Palma 38713, Spain
| | - Nazario Ojeda
- Department of Anaesthesiology, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, Las Palmas de Gran Canaria 35010, Spain
| | - Aurelio Rodríguez-Pérez
- Department of Anaesthesiology, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, Las Palmas de Gran Canaria 35010, Spain
| | - Casimira Domínguez
- Laboratory Department, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n, Las Palmas de Gran Canaria 35010, Spain
| | - Alejandro Jiménez
- Research Unit, Hospital Universitario de Canarias, Ofra, s/n, La Laguna, 38320 Santa Cruz de Tenerife, Spain
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12
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Turgutkaya A, Akın N, Sargın G, Bolaman Z, Yavaşoğlu İ. The relationship between red cell distribution width and prognostic scores in myelodysplastic syndrome. Hematol Transfus Cell Ther 2021; 44:332-335. [PMID: 33583768 PMCID: PMC9477847 DOI: 10.1016/j.htct.2020.11.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 10/14/2020] [Accepted: 11/17/2020] [Indexed: 11/26/2022] Open
Abstract
Introduction The myelodysplastic syndrome (MDS) represents a group of hematopoietic neoplasms that is characterized by clonal hematopoiesis, cytopenia and abnormal cellular maturation. Red cell distribution width (RDW) refers to the variation degree of erythrocyte size and it is a reflection of anisocytosis. Higher values have been linked to adverse outcomes, such as increased mortality, vascular events, kidney and liver disease and demonstrated to harbor poor prognosis in solid and hematological malignancies. The RDW value can be used as a contributing parameter for MDS diagnosis, as well as its prognosis. In this study, we essentially aimed to demonstrate the correlation between the RDW and MDS prognostic indexes. Materials and methods Ninety-four MDS patients at the Aydın Adnan Menderes University Hematology Division were included in the study. The correlations between the RDW and laboratory values (either lactate dehydrogenase, albumin, globulin or ferritin) and the RDW prognostic scoring indexes (IPSS, WPSS, IPSS-R and LR-PSS) were investigated. The PASW for Windows, version 21.0 (SPSS Inc., Chicago, IL, USA), was used for statistical assessment. A p-value below 0.05 was the cut-off for the statistical significance. Results The mean age of all the patients was 73 ± 10 years. Patients were observed for 41.88 ± 25 months. The mean RDW value for all cases was 15.5 ± 2.39. We found a statistically significant difference of survival between RDW values below and above 15.5% (p = 0.016). A significant difference was also observed according to the prognostic scoring indexes (see below). Conclusion An increase in RDW is probably related to dysplasia in the MDS and this constitutes a possible explanation for the poor outcome. Prognostic indexes might incorporate the RDW as a parameter in the future.
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Affiliation(s)
- Atakan Turgutkaya
- Adnan Menderes University Hospital, Aytepe Mevki, Efeler, Aydın, Turkey.
| | - Nesim Akın
- Adnan Menderes University Hospital, Aytepe Mevki, Efeler, Aydın, Turkey
| | - Gökhan Sargın
- Adnan Menderes University Hospital, Aytepe Mevki, Efeler, Aydın, Turkey
| | - Zahit Bolaman
- Adnan Menderes University Hospital, Aytepe Mevki, Efeler, Aydın, Turkey
| | - İrfan Yavaşoğlu
- Adnan Menderes University Hospital, Aytepe Mevki, Efeler, Aydın, Turkey
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13
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Jia X, Cheng S, Zhang L, Zheng Y, Zou H, Huang S, Wang H, Lu J, Tang D. Elevated Red Blood Cell Distribution Width as a Poor Prognostic Factor in Patients With Hematopoietic Stem Cell Transplantation. Front Oncol 2021; 10:565265. [PMID: 33537231 PMCID: PMC7848151 DOI: 10.3389/fonc.2020.565265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 11/30/2020] [Indexed: 12/31/2022] Open
Abstract
Red cell distribution width (RDW), a measure of erythrocyte size variability, has been recently reported as an effective prognostic factor in critical illness. Hematopoietic stem cell transplantation (HSCT) has become the first choice of most patients with hematological malignancies. The aim of this study was to assess the changes of RDW in patients with HSCT and analyze the relationship between RDW and HSCT. In this study, we retrospectively enrolled 114 hematopoietic stem cell transplant patients during the period from 2015 to 2019. Logistic regression and Kaplan-Meier survival analysis were used for retrospective analysis. Multivariate analysis suggested that patients with elevated RDW (>14.5%) at three months post-transplantation have a poor clinical outcome compared with those with normal RDW ≤14.5% [odds ratio (OR) 5.12; P = 0.002]. Kaplan-Meier method analysis demonstrated that patients with elevated RDW levels (>14.5%) after hematopoietic stem cell transplantation experienced shorter progression-free survival compared to those with normal RDW levels (P = 0.008). Our study demonstrated that RDW could be an easily available and potential predictive biomarker for risk stratification in patients with HSCT. Further prospective studies are determined to confirm the prognostic value of RDW in HSCT patients.
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Affiliation(s)
- Xiaojiong Jia
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Si Cheng
- Department of Orthopaedics, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Long Zhang
- Department of Urinary Surgery, People's Hospital of Jiulongpo District, Chongqing, China
| | - Yuan Zheng
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Zou
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shifeng Huang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongxu Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Lu
- Department of Otolaryngology-Head and Neck Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dijiao Tang
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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14
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Kaner J, Desai P, Mencia-Trinchant N, Guzman ML, Roboz GJ, Hassane DC. Clonal Hematopoiesis and Premalignant Diseases. Cold Spring Harb Perspect Med 2020; 10:a035675. [PMID: 31615870 PMCID: PMC7117948 DOI: 10.1101/cshperspect.a035675] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Clonal hematopoiesis (CH) arises when mutations in the hematopoietic system confer a fitness advantage to specific clones, thereby favoring their disproportionate growth. The presence of CH increases with age and environmental exposures such as cytotoxic chemotherapy or radiotherapy. The most frequent mutations occur in epigenetic regulators, such as DNMT3A, TET2, and ASXL1, leading to dysregulation of tumor suppressor function, pathogen response, and inflammation. These dysregulated processes elevate risk of overall mortality, cardiovascular disease, and eventual hematologic malignancy (HM). CH is likely acting as an initiating event leading to HM when followed by cooperating mutations. However, further evidence suggests that CH exerts a bystander influence through its pro-inflammatory properties. Delineating the mechanisms that lead to the onset and expansion of CH as well as its contribution to risk of HM is crucial to defining a management and intervention strategy. In this review, we discuss the potential causes, consequences, technical considerations, and possible management strategies for CH in the context of HMs and pre-HMs.
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Affiliation(s)
- Justin Kaner
- Division of Hematology & Oncology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Pinkal Desai
- Division of Hematology & Oncology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Nuria Mencia-Trinchant
- Division of Hematology & Oncology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Monica L Guzman
- Division of Hematology & Oncology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Gail J Roboz
- Division of Hematology & Oncology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Duane C Hassane
- Division of Hematology & Oncology, Weill Cornell Medical College, New York, New York 10065, USA
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, New York 10065, USA
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15
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Psoriasis and Psoriatic Arthritis Cardiovascular Disease Endotypes Identified by Red Blood Cell Distribution Width and Mean Platelet Volume. J Clin Med 2020; 9:jcm9010186. [PMID: 31936662 PMCID: PMC7019311 DOI: 10.3390/jcm9010186] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/27/2019] [Accepted: 01/03/2020] [Indexed: 12/12/2022] Open
Abstract
In a subset of psoriasis (PsO) and psoriatic arthritis (PsA) patients, the skin and/or joint lesions appear to generate biologically significant systemic inflammation. Red cell distribution width (RDW) and mean platelet volume (MPV) are readily available clinical tests that reflect responses of the bone marrow and/or plasma thrombogenicity (e.g., inflammation), and can be markers for major adverse cardiac events (MACE). We aimed to evaluate if RDW and MPV may be employed as inexpensive, routinely obtained biomarkers in predicting myocardial infarction (MI), atrial fibrillation (AF), and chronic heart failure (CHF) in psoriatic and psoriatic arthritis patients. The study was divided into two parts: (a) case control study employing big data (Explorys) to assess MPV and RDW in psoriasis, psoriatic arthritis and control cohorts; (b) a clinical observational study to validate the predictive value of RDW and to evaluate RDW response to anti-psoriatic therapies. We used Explorys, an aggregate electronic database, to identify psoriatic patients with available MPV and RDW data and compared them to gender and age matched controls. The incidence of myocardial infarction (MI), atrial fibrillation (AF), and chronic heart failure (CHF) was highest among patients with both elevated RDW and MPV, followed by patients with high RDW and normal MPV. RDW elevation among PsA patients was associated with an increased risk of MI, AF, and CHF. In a local clinical cohort, high RDWs were concentrated in a subset of patients who also had elevated circulating resistin levels. Among a small subset of participants who were treated with various systemic and biologic therapies, and observed over a year, and in whom RDW was elevated at baseline, a sustained response to therapy was associated with a decrease in RDW. RDW and MPV, tests commonly contained within routine complete blood count (CBC), may be a cost-effective manner to identify PsO and PsA patients at increased risk of MACE.
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16
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Tsagarakis NJ, Paterakis G, Papadhimitriou SI, Kritikou-Griva E, Goumakou E, Oudatzis G, Theodorakos I, Vasileiou P. "Bone marrow aspirate automated counts on hematology analyzers: formulating a scoring system based on hematology parameters, to discriminate reactive versus myelodysplastic syndrome-related bone marrows". Int J Lab Hematol 2019; 41:542-549. [PMID: 31102331 DOI: 10.1111/ijlh.13049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/22/2019] [Accepted: 04/25/2019] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Diagnosis of myelodysplastic syndromes (MDS) is usually challenging. In this context, we have attempted to employ data derived from automated analysis of bone marrow (BM) samples as an ancillary tool for the discrimination between reactive marrow and MDS. METHODS A total of 101 BM anticoagulated samples referred for flow cytometry (FCM) analysis on the clinical suspicion of MDS had been previously counted in a Mindray BC-6800 hematology analyzer (testing set). Among them, 22/101 randomly selected BM samples (comparison set) had been also simultaneously counted by an Advia 2120 and a CELL-DYN Sapphire hematology analyzer. Selected parameters obtained by Mindray BC-6800 were retrospectively evaluated with ROC and regression analysis in an attempt to formulate a discriminative scoring system (SS) for MDS. This system was further evaluated in the comparison set. RESULTS The diagnosis of MDS was established in 37/101 patients assessed ("MDS" group). Three patients were diagnosed with myelodysplastic/myeloproliferative neoplasm (MDS/MPN), while 61 revealed a "reactive" bone marrow ("RBM" group). Statistical analysis revealed significant differences in Hb, RDW-CV%, NRBC%, and RET% values between the "MDS" and the "RBM" group. Specific cutoff values were then indicated and employed for the formulation of a SS of high sensitivity (86.84%) and specificity (86.89%). The encouraging performance characteristics of the proposed SS were also confirmed in the BM comparison set. CONCLUSION Automated BM counts on hematology analyzers contributed to the formulation of a SS for the screening discrimination between reactive and MDS BM fluids, which seems to be applicable and informative, regardless of the analyzer used.
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Affiliation(s)
- Nikolaos J Tsagarakis
- Department of Laboratory Hematology, Athens Regional General Hospital "G. Gennimatas", Athens, Greece
| | - Georgios Paterakis
- Department of Immunology, Athens Regional General Hospital "G. Gennimatas", Athens, Greece
| | - Stefanos I Papadhimitriou
- Department of Laboratory Hematology, Athens Regional General Hospital "G. Gennimatas", Athens, Greece
| | - Elpiniki Kritikou-Griva
- Department of Laboratory Hematology, Athens Regional General Hospital "G. Gennimatas", Athens, Greece
| | - Eleni Goumakou
- Department of Laboratory Hematology, Athens Regional General Hospital "G. Gennimatas", Athens, Greece
| | | | - Ioannis Theodorakos
- Department of Immunology, Athens Regional General Hospital "G. Gennimatas", Athens, Greece
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17
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Boutault R, Peterlin P, Boubaya M, Sockel K, Chevallier P, Garnier A, Guillaume T, Le Bourgeois A, Debord C, Godon C, Le Bris Y, Theisen O, Kroschinsky F, Moreau P, Béné MC, Platzbecker U, Eveillard M. A novel complete blood count-based score to screen for myelodysplastic syndrome in cytopenic patients. Br J Haematol 2018; 183:736-746. [PMID: 30406952 DOI: 10.1111/bjh.15626] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 08/24/2018] [Indexed: 12/21/2022]
Abstract
The diagnosis of myelodysplastic syndromes (MDS) is often challenging, time- and resource-consuming. A thorough analysis of complete blood count (CBC) parameters could, however, help to screen for MDS among other causes of cytopenia. To test this hypothesis, 109 newly-diagnosed MDS patients and 399 cytopenic patients older than 50 years with confirmed absence of MDS were enrolled in a prospective study. Multiparametric analysis highlighted three CBC parameters that were significantly different between the two cohorts: mean corpuscular volume, absolute neutrophil count and median neutrophil complexity and width of dispersion of the events measured (Ne-WX), which were used to define an MDS-CBC score. This score enables the prediction of MDS with 86% sensitivity and 88% specificity. The MDS-CBC score excluded MDS in 89% of cytopenic controls. Moreover, high score values at MDS diagnosis significantly correlated with decreased event-free (P = 0·02) and overall survival (P = 0·01). The power of this score was confirmed in an independent validation cohort (MDS n = 34, cytopenic controls n = 28). The MDS-CBC score is an easy and fast tool to exclude or suspect MDS in unselected patients with cytopenia of unknown reasons at the time of analysis, by prompting blood smear examination. It may thus improve allocation of further MDS-specific work-up in patients with cytopenia at the time of CBC assessment.
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Affiliation(s)
| | | | - Marouane Boubaya
- Clinical Research, Avicenne University Hospital, Bobigny, Germany
| | - Katja Sockel
- Universitätsklinikum "Carl Gustav Carus" der Technischen Universität Dresden, Dresden, Germany.,German Cancer Consortium (DKTK) and National Center for Tumor Diseases (NCT) Dresden, Dresden, Germany
| | | | | | | | | | | | | | | | | | - Frank Kroschinsky
- Universitätsklinikum "Carl Gustav Carus" der Technischen Universität Dresden, Dresden, Germany.,German Cancer Consortium (DKTK) and National Center for Tumor Diseases (NCT) Dresden, Dresden, Germany
| | | | | | - Uwe Platzbecker
- Universitätsklinikum "Carl Gustav Carus" der Technischen Universität Dresden, Dresden, Germany.,German Cancer Consortium (DKTK) and National Center for Tumor Diseases (NCT) Dresden, Dresden, Germany.,Medical Clinic and Policlinic 1 University Hospital Leizpig, Leipzig, Germany
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